InterSpeech 2021

The First DiCOVA Challenge: Diagnosis of COVid-19 using Acoustics

Diagnosis of COVID-19 using Auditory Acoustic Cues
(Oral presentation)

Rohan Kumar Das (NUS, Singapore), Maulik Madhavi (NUS, Singapore), Haizhou Li (NUS, Singapore)

Classification of COVID-19 from Cough Using Autoregressive Predictive Coding Pretraining and Spectral Data Augmentation
(Oral presentation)

John Harvill (University of Illinois at Urbana-Champaign, USA), Yash R. Wani (University of Chicago, USA), Mark Hasegawa-Johnson (University of Illinois at Urbana-Champaign, USA), Narendra Ahuja (University of Illinois at Urbana-Champaign, USA), David Beiser (University of Chicago, USA), David Chestek (University of Illinois at Chicago, USA)

The DiCOVA 2021 Challenge -- An Encoder-Decoder Approach for COVID-19 Recognition from Coughing Audio
(Oral presentation)

Gauri Deshpande (TCS, India), Björn W. Schuller (Universität Augsburg, Germany)

COVID-19 Detection from Spectral features on the DiCOVA Dataset
(Oral presentation)

Kotra Venkata Sai Ritwik (NITK Surathkal, India), Shareef Babu Kalluri (NITK Surathkal, India), Deepu Vijayasenan (NITK Surathkal, India)

Cough-based COVID-19 Detection with Contextual Attention Convolutional Neural Networks and Gender Information
(Oral presentation)

Adria Mallol-Ragolta (Universität Augsburg, Germany), Helena Cuesta (Universitat Pompeu Fabra, Spain), Emilia Gómez (Universitat Pompeu Fabra, Spain), Björn W. Schuller (Universität Augsburg, Germany)

Contrastive Learning of Cough Descriptors for Automatic COVID-19 Preliminary Diagnosis
(Oral presentation)

Swapnil Bhosale (TCS, India), Upasana Tiwari (TCS, India), Rupayan Chakraborty (TCS, India), Sunil Kumar Kopparapu (TCS, India)